Noise Tolerant Data Authentication for Wireless Communication

Language: English

Published by Springer International Publishing AG, CH, 2018

3319789414 / 9783319789415

Series: Book 139 of 180 - Signals and Communication Technology

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This book provides insight into the challenges in providing data authentication over wireless communication channels. The authors posit that established standard authentication mechanisms - for wired devices - are not sufficient to authenticate data, such as voice, images, and video over wireless channels. The authors propose new mechanisms based on the so-called soft authentication algorithms, which tolerate some legitimate modifications in the data that they protect. The authors explain that the goal of these algorithms is that they are tolerant to changes in the content but are still able to identify the forgeries. The authors go on to describe how an additional advantage of the soft authentication algorithms is the ability to identify the locations of the modifications and correct them if possible. The authors show how to achieve this by protecting the data features with the help of error correcting codes. The correction methods are typically based on watermarking, as the authors discuss in the book.Provides a discussion of data (particularly image) authentication methods in the presence of noise experienced in wireless communication;Presents a new class of soft authentication methods, instead of the standard hard authentication methods, used to tolerate minor changes in image data;Features authentication methods based on the usage of authentication tags as well as digital watermarks.…

Seller Inventory # LU-9783319789415

Title
Noise Tolerant Data Authentication for Wireless Communication
Author
Obaid Ur-Rehman, Natasa Zivic
Publisher
Springer International Publishing AG, CH
Publication year
2018
Condition
New
Binding
Hardback
Language
English
ISBN 10
3319789414
ISBN 13
9783319789415
Edition
1st ed. 2018.
Series
Book 139 of 180: Signals and Communication Technology

Rarewaves.com UK

London, United Kingdom

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